A tokamak is a device with a toroidal geometry that uses magnetic fields to
confine a plasma inside a vacuum chamber, in order to produce thermonuclea
r fusion reactions, releasing large amounts of energy, larger than that emp
loyed in operating the device. There are two fundamental problems that have
prevented us from achieving this goal: (1) the appearance of different ins
tabilities that are capable of destroying confinement. and (2) the great en
ergy losses resulting from transport to the plasma edge. For several years
there has been an enormous effort to study the complex physics behind these
two phenomena in order to understand the way they affect the plasma so it
is possible to control the unwanted effects. In this Project, different asp
ects of the tokamak plasma physics are studied, namely: (a) the transition
phenomenom to an improved confinement mode (H mode), (b) the effect impurit
ies have on plasma dynamics in the cooler edge region, (c) the processes le
ading to a "detached divertor" regime, which makes energy extraction more e
fficient, and (d) the burn control of a future nuclear fusion reactor using
neural networks. All these are important problems and have to be well unde
rstood before the design and construction of a tokamak-based thermonuclear
reactor can be undertaken.